HandGCAT: Occlusion-Robust 3D Hand Mesh Reconstruction from Monocular Images

arXiv:2403.07912v1 Announce Type: new
Abstract: We propose a robust and accurate method for reconstructing 3D hand mesh from monocular images. This is a very challenging problem, as hands are often severely occluded by objects. Previous works often have disregarded 2D hand pose information, which contains hand prior knowledge that is strongly correlated with occluded regions. Thus, in this work, we propose a novel 3D hand mesh reconstruction network HandGCAT, that can fully exploit hand prior as compensation information to enhance …

arxiv cs.cv images mesh robust type